Integrated partition denitrification method based on anaerobic ammonia oxidation reaction

Abstract

This invention belongs to the field of wastewater denitrification technology, specifically an integrated zoned denitrification method based on anaerobic ammonia oxidation reaction, comprising the following steps: S1, removing high concentrations of organic matter and suspended solids from wastewater through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent Anammox treatment; S2, dividing the integrated reactor into zones, setting up a short-cut nitrification zone and an Anammox reaction zone; S3, partially recirculating the effluent from the Anammox reaction zone back to the short-cut nitrification zone to replenish nitrite and balance the carbon-nitrogen ratio; recirculating Anammox granular sludge to the reaction zone through a sedimentation zone to maintain biomass concentration and reaction efficiency; S4, setting up a secondary sedimentation tank or an internal sedimentation zone to achieve sludge-water separation, discharging excess sludge and ensuring effluent meets standards. This invention ensures stable denitrification efficiency by dynamically adjusting the dissolved oxygen in the short-cut nitrification zone and the pH value in the Anammox reaction zone.

Description

Technical Field

[0001] This invention relates to the field of wastewater denitrification technology, and in particular to an integrated zoned denitrification method based on anaerobic ammonia oxidation reaction. Background Technology

[0002] The integrated zoned nitrogen removal process based on anaerobic ammonia oxidation solves the problems of high energy consumption, carbon source dependence, and large footprint of traditional nitrogen removal processes through zoned synergy and precise parameter control. It is particularly suitable for the large-scale treatment of wastewater with high ammonia nitrogen and low carbon-to-nitrogen ratio, and is one of the key technologies for achieving "carbon neutrality" in the wastewater treatment field. The bacteria involved in the anaerobic ammonia oxidation process are called anaerobic ammonia oxidizing bacteria. Generally, anaerobic ammonia oxidizing bacteria are considered autotrophic bacteria, using carbon dioxide or carbonate as a carbon source, ammonium salts as electron donors, and nitrite / nitrate as electron acceptors. Anaerobic ammonia oxidizing bacteria (anammox) are a type of bacteria belonging to the phylum Planctomycetes. "Red bacteria" is a common name for anaerobic ammonia oxidizing bacteria in the industry. Through biochemical reactions, they can convert ammonia nitrogen in wastewater into nitrogen gas for removal.

[0003] In existing technologies, integrated zoned denitrification cannot guarantee stable denitrification efficiency. Therefore, we propose an integrated zoned denitrification method based on anaerobic ammonia oxidation reaction to solve the above problems. Summary of the Invention

[0004] The purpose of this invention is to address the drawback of not being able to guarantee stable denitrification efficiency, and to propose an integrated zoned denitrification method based on anaerobic ammonia oxidation reaction.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] An integrated zoned denitrification method based on anaerobic ammonia oxidation reaction includes the following steps:

[0007] S1. High concentrations of organic matter and suspended solids in wastewater are removed through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox);

[0008] S2. The integrated reactor is divided into zones, including a short-cut nitration zone and an Anammox reaction zone;

[0009] S3. Part of the effluent from the Anammox reaction zone is returned to the short-cut nitrification zone to replenish nitrite and balance the carbon-nitrogen ratio; Anammox granular sludge is returned to the reaction zone through the sedimentation zone to maintain biomass concentration and reaction efficiency.

[0010] S4. Set up a secondary sedimentation tank or built-in sedimentation zone to achieve mud-water separation, discharge excess sludge and ensure that the effluent meets the standards;

[0011] S5. Real-time collection of COD, ammonia nitrogen, and nitrite parameters through sensors, combined with LSTM neural network algorithm to predict water quality fluctuation trends in the next 24 hours, dynamically adjust dissolved oxygen in the short-range nitrification zone and pH value in the Anammox reaction zone to ensure stable denitrification efficiency.

[0012] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle.

[0013] S7. Perform zoned collaborative intelligent control, fault early warning and adaptive optimization.

[0014] Preferably, in S7, the zoned collaborative intelligent control is specifically as follows: by analyzing the ammonia nitrogen conversion rate in the short-range nitrification zone, the aeration rate and mixed liquor recirculation ratio are automatically adjusted, with the recirculation ratio being 30%-50%, maintaining the molar ratio of nitrite to ammonia nitrogen close to 1:1, providing an ideal substrate for the Anammox reaction; based on image recognition technology, the particle size distribution of Anammox granular sludge is monitored, and the optimal sludge recirculation strategy is recommended to prevent granular sludge disintegration or carrier biofilm blockage.

[0015] Preferably, the fault warning and adaptive optimization are as follows: by monitoring the concentration thresholds of free ammonia and nitrite, the risk of Anammox activity inhibition is warned in advance and emergency measures are triggered. For the influent fluctuations of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage and balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0016] Preferably, in step S1, high concentrations of organic matter and suspended solids in the wastewater are removed by coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox); ammonia nitrogen in the wastewater is retained as a substrate for the Anammox reaction, and nitrite is added or generated through short-cut nitrification if necessary.

[0017] Preferably, in step S2, the integrated reactor is divided into two zones: a short-cut nitrification zone and an Anammox reaction zone. In the short-cut nitrification zone, under aerobic conditions, dissolved oxygen (DO < 0.5 mg / L) and a short hydraulic retention time are controlled to oxidize some ammonia nitrogen to nitrite, avoiding complete nitrification to produce nitrate. In the Anammox reaction zone, under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as an electron donor and nitrite as an electron acceptor to directly convert it into nitrogen gas.

[0018] Preferably, in step S4, a secondary sedimentation tank or an internal sedimentation zone is set up to achieve mud-water separation, discharge the excess sludge and ensure that the effluent meets the standards. The effluent indicators are: total nitrogen removal rate of 80%-90%, and the concentrations of residual ammonia nitrogen and nitrite are both below 10 mg / L.

[0019] Preferably, in S2, the operating temperature of the Anammox reaction zone is 34-36℃, and the pH is 7.0-8.0.

[0020] Preferably, in step S5, the step of dynamically adjusting the dissolved oxygen in the short-cut nitrification zone is as follows: An online dissolved oxygen sensor and an ammonia nitrogen sensor are installed. Dissolved oxygen and ammonia nitrogen concentration data in the short-cut nitrification zone are collected every 5 minutes to ensure real-time data accuracy. Based on the short-cut nitrification target of approximately 55% ammonia nitrogen being converted to nitrite, a dissolved oxygen control threshold of 0.3-0.5 mg / L is set. When the ammonia nitrogen concentration exceeds the set threshold, the aeration equipment is activated via a PLC controller to increase the dissolved oxygen to 0.5 mg / L, accelerating the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, the aeration rate is gradually reduced to stabilize the dissolved oxygen at 0.3-0.4 mg / L, inhibiting the activity of nitrite-oxidizing bacteria.

[0021] Preferably, the step of dynamically adjusting the pH value of the Anammox reaction zone is as follows: A high-precision pH probe is installed in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0-8.0. When the pH is lower than 7.0, the sodium bicarbonate dosing system is automatically activated, adding 50-100 mg / L NaHCO3 for every 0.1 pH decrease to maintain an alkaline environment. The buffer dosage is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, increasing the dosage by 20%-30% to counteract the H2 produced by the Anammox reaction. + When the pH rises abnormally, the mixed liquor reflux system is activated to introduce weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to be out of control, the emergency acid addition module is triggered to finely adjust the pH in a 0.1 mL / L gradient to avoid impacting the activity of Anammox bacteria.

[0022] Preferably, in step S6, an integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, actual influent data is input, initial hydraulic retention time and temperature parameters are set, and model parameters are calibrated to ensure that the error between simulated and measured values ​​is <10%. Then, multi-scenario simulations are performed, using software to conduct steady-state and dynamic simulations, generating a process dataset covering different combinations of HRT (6-15 hours) and temperature (25-45℃). This dataset includes: steady-state data: effluent TN and NH4+ at different HRTs and temperatures. +-N concentration and sludge settling performance; dynamic data: simulated system response under extreme conditions such as influent load fluctuation (±30%) and sudden temperature changes (±5℃ / day); normalized simulation data to eliminate dimensional differences, selected key feature variables as model input, and effluent TN removal rate as optimization target. LSTM neural network or random forest algorithm was used to establish a nonlinear mapping relationship between temperature and denitrification performance. The optimized parameters were input into simulation software for verification, and the deviation between simulated and predicted values ​​was compared. Actual operating data was collected, model weights were continuously updated, a historical optimization case library was established, and the best initial parameters were recommended through similarity matching to reduce the number of trials and errors.

[0023] Compared with the prior art, the advantages of the present invention are as follows:

[0024] By collecting COD, ammonia nitrogen, and nitrite parameters in real time through sensors, and combining them with LSTM neural network algorithms to predict water quality fluctuation trends in the next 24 hours, the dissolved oxygen in the short-range nitrification zone and the pH value in the Anammox reaction zone are dynamically adjusted to ensure stable nitrogen removal efficiency.

[0025] By monitoring the concentration thresholds of free ammonia and nitrite, early warnings of the risk of Anammox activity inhibition are issued and emergency measures are triggered. For influent fluctuations in high ammonia nitrogen wastewater, AI adaptively optimizes the carbon source dosage by combining historical data to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0026] Online dissolved oxygen and ammonia nitrogen sensors are installed to collect dissolved oxygen and ammonia nitrogen concentration data in the short-cut nitrification zone every 5 minutes to ensure real-time data. Based on the short-cut nitrification target, approximately 55% of ammonia nitrogen is converted to nitrite. The dissolved oxygen control threshold is set at 0.3-0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, the aeration equipment is activated via PLC controller to increase the dissolved oxygen to 0.5 mg / L, accelerating the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, the aeration rate is gradually reduced to stabilize the dissolved oxygen at 0.3-0.4 mg / L, inhibiting the activity of nitrite-oxidizing bacteria.

[0027] A high-precision pH probe is installed in the Anammox reaction zone to monitor pH fluctuations in real time. The pH fluctuation range is 7.0-8.0. When the pH drops below 7.0, the sodium bicarbonate dosing system is automatically activated, adding 50-100 mg / L NaHCO3 for every 0.1 pH decrease to maintain an alkaline environment. The buffer dosage is dynamically adjusted based on the influent ammonia nitrogen load and nitrite concentration, increasing the dosage by 20%-30% to counteract the H2 produced by the Anammox reaction. +When the pH rises abnormally, the mixed liquor reflux system is activated to introduce weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to be out of control, the emergency acid addition module is triggered to finely adjust the pH in a 0.1 mL / L gradient to avoid impacting the Anammox bacteria activity.

[0028] This invention ensures stable nitrogen removal efficiency by dynamically adjusting the dissolved oxygen in the short-cut nitrification zone and the pH value in the Anammox reaction zone. Attached Figure Description

[0029] Figure 1 This is a flowchart of an integrated zoned denitrification method based on anaerobic ammonia oxidation proposed in this invention. Detailed Implementation

[0030] The technical solutions in this embodiment will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this embodiment, and not all embodiments.

[0031] Example 1

[0032] Reference Figure 1 An integrated zoned denitrification method based on anaerobic ammonia oxidation reaction includes the following steps:

[0033] S1. High concentrations of organic matter and suspended solids in wastewater are removed through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox);

[0034] S2. The integrated reactor is divided into zones, including a short-cut nitration zone and an Anammox reaction zone;

[0035] S3. Part of the effluent from the Anammox reaction zone is returned to the short-cut nitrification zone to replenish nitrite and balance the carbon-nitrogen ratio; Anammox granular sludge is returned to the reaction zone through the sedimentation zone to maintain biomass concentration and reaction efficiency.

[0036] S4. Set up a secondary sedimentation tank or built-in sedimentation zone to achieve mud-water separation, discharge excess sludge and ensure that the effluent meets the standards;

[0037] S5. Real-time collection of COD, ammonia nitrogen, and nitrite parameters through sensors, combined with LSTM neural network algorithm to predict water quality fluctuation trends in the next 24 hours, dynamically adjust dissolved oxygen in the short-range nitrification zone and pH value in the Anammox reaction zone to ensure stable denitrification efficiency.

[0038] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle.

[0039] S7. Perform zoned collaborative intelligent control, fault early warning and adaptive optimization.

[0040] In this embodiment, in S7, the zoned collaborative intelligent control is as follows: by analyzing the ammonia nitrogen conversion rate in the short-range nitrification zone, the aeration rate and mixed liquor recirculation ratio are automatically adjusted, with the recirculation ratio being 30%-50%, maintaining the molar ratio of nitrite to ammonia nitrogen close to 1:1, providing an ideal substrate for the Anammox reaction; based on image recognition technology, the particle size distribution of Anammox granular sludge is monitored, and the optimal sludge recirculation strategy is recommended to prevent granular sludge disintegration or carrier biofilm blockage.

[0041] In this embodiment, the fault warning and adaptive optimization are as follows: by monitoring the concentration thresholds of free ammonia and nitrite, the risk of Anammox activity inhibition is warned in advance and emergency measures are triggered. For the influent fluctuations of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage and balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0042] In this embodiment, in S1, high concentrations of organic matter and suspended solids in the wastewater are removed by coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox); ammonia nitrogen in the wastewater is retained as a substrate for the Anammox reaction, and nitrite is added or generated by short-cut nitrification if necessary.

[0043] In this embodiment, in S2, the integrated reactor is divided into two zones: a short-cut nitrification zone and an Anammox reaction zone. In the short-cut nitrification zone, under aerobic conditions, dissolved oxygen (DO < 0.5 mg / L) and a short hydraulic retention time are controlled to oxidize some ammonia nitrogen to nitrite, avoiding complete nitrification to produce nitrate. In the Anammox reaction zone, under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as an electron donor and nitrite as an electron acceptor to directly convert it into nitrogen gas.

[0044] In this embodiment, in S4, a secondary sedimentation tank or an internal sedimentation zone is set up to achieve mud-water separation, discharge the remaining sludge and ensure that the effluent meets the standards. The effluent indicators are: total nitrogen removal rate of 80%, and the concentrations of residual ammonia nitrogen and nitrite are both below 10 mg / L.

[0045] In this embodiment, in S2, the operating temperature of the Anammox reaction zone is 34°C and the pH is 7.0.

[0046] In this embodiment, the step of dynamically adjusting the dissolved oxygen in the short-cut nitrification zone in S5 is as follows: Install online dissolved oxygen sensors and ammonia nitrogen sensors, and collect dissolved oxygen concentration and ammonia nitrogen concentration data in the short-cut nitrification zone every 5 minutes to ensure real-time data. Based on the short-cut nitrification target, approximately 55% of ammonia nitrogen is converted to nitrite. Set the dissolved oxygen control threshold to 0.3 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L, accelerating the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration rate to stabilize the dissolved oxygen at 0.3 mg / L and inhibit the activity of nitrite-oxidizing bacteria.

[0047] In this embodiment, the steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: A high-precision pH probe is installed in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0-8.0. When the pH is lower than 7.0, the sodium bicarbonate dosing system is automatically activated, adding 50 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. The buffer dosage is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, with the dosage increased by 20% to counteract the H2 produced by the Anammox reaction. + When the pH rises abnormally, the mixed liquor reflux system is activated to introduce weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to be out of control, the emergency acid addition module is triggered to finely adjust the pH in a 0.1 mL / L gradient to avoid impacting the activity of Anammox bacteria.

[0048] In this embodiment, in step S6, an integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, actual influent data is input, initial hydraulic retention time and temperature parameters are set, and model parameters are calibrated to ensure that the error between simulated and measured values ​​is <10%. Then, multi-scenario simulations are performed, using software to conduct steady-state and dynamic simulations, generating a process dataset covering different combinations of HRT (6 hours) and temperature (25°C), including: steady-state data: effluent TN and NH4 at different HRTs and temperatures. + -N concentration and sludge settling performance; dynamic data: simulating system response under extreme conditions such as influent load fluctuations and sudden temperature changes; normalizing simulation data to eliminate dimensional differences, selecting key feature variables as model inputs, and using effluent TN removal rate as the optimization objective; employing LSTM neural networks or random forest algorithms to establish a nonlinear mapping relationship between temperature and denitrification performance; inputting optimized parameters into simulation software for verification, comparing the deviation between simulated and predicted values, collecting actual operating data, continuously updating model weights, establishing a historical optimization case library, and recommending optimal initial parameters through similarity matching to reduce trial and error.

[0049] Example 2

[0050] An integrated zoned denitrification method based on anaerobic ammonia oxidation reaction includes the following steps:

[0051] S1. High concentrations of organic matter and suspended solids in wastewater are removed through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox);

[0052] S2. The integrated reactor is divided into zones, including a short-cut nitration zone and an Anammox reaction zone;

[0053] S3. Part of the effluent from the Anammox reaction zone is returned to the short-cut nitrification zone to replenish nitrite and balance the carbon-nitrogen ratio; Anammox granular sludge is returned to the reaction zone through the sedimentation zone to maintain biomass concentration and reaction efficiency.

[0054] S4. Set up a secondary sedimentation tank or built-in sedimentation zone to achieve mud-water separation, discharge excess sludge and ensure that the effluent meets the standards;

[0055] S5. Real-time collection of COD, ammonia nitrogen, and nitrite parameters through sensors, combined with LSTM neural network algorithm to predict water quality fluctuation trends in the next 24 hours, dynamically adjust dissolved oxygen in the short-range nitrification zone and pH value in the Anammox reaction zone to ensure stable denitrification efficiency.

[0056] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle.

[0057] S7. Perform zoned collaborative intelligent control, fault early warning and adaptive optimization.

[0058] In this embodiment, in S7, the zoned collaborative intelligent control is as follows: by analyzing the ammonia nitrogen conversion rate in the short-range nitrification zone, the aeration rate and mixed liquor recirculation ratio are automatically adjusted, with the recirculation ratio being 30%-50%, maintaining the molar ratio of nitrite to ammonia nitrogen close to 1:1, providing an ideal substrate for the Anammox reaction; based on image recognition technology, the particle size distribution of Anammox granular sludge is monitored, and the optimal sludge recirculation strategy is recommended to prevent granular sludge disintegration or carrier biofilm blockage.

[0059] In this embodiment, the fault warning and adaptive optimization are as follows: by monitoring the concentration thresholds of free ammonia and nitrite, the risk of Anammox activity inhibition is warned in advance and emergency measures are triggered. For the influent fluctuations of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage and balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0060] In this embodiment, in S1, high concentrations of organic matter and suspended solids in the wastewater are removed by coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox); ammonia nitrogen in the wastewater is retained as a substrate for the Anammox reaction, and nitrite is added or generated by short-cut nitrification if necessary.

[0061] In this embodiment, in S2, the integrated reactor is divided into two zones: a short-cut nitrification zone and an Anammox reaction zone. In the short-cut nitrification zone, under aerobic conditions, dissolved oxygen (DO < 0.5 mg / L) and a short hydraulic retention time are controlled to oxidize some ammonia nitrogen to nitrite, avoiding complete nitrification to produce nitrate. In the Anammox reaction zone, under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as an electron donor and nitrite as an electron acceptor to directly convert it into nitrogen gas.

[0062] In this embodiment, in S4, a secondary sedimentation tank or an internal sedimentation zone is set up to achieve mud-water separation, discharge the remaining sludge and ensure that the effluent meets the standards. The effluent indicators are: total nitrogen removal rate of 85%, and the concentrations of residual ammonia nitrogen and nitrite are both below 10 mg / L.

[0063] In this embodiment, in S2, the operating temperature of the Anammox reaction zone is 35°C, and the pH is 7.5.

[0064] In this embodiment, the step of dynamically adjusting the dissolved oxygen in the short-cut nitrification zone in S5 is as follows: Install online dissolved oxygen sensors and ammonia nitrogen sensors, and collect dissolved oxygen concentration and ammonia nitrogen concentration data in the short-cut nitrification zone every 5 minutes to ensure real-time data. Based on the short-cut nitrification target, approximately 55% of ammonia nitrogen is converted to nitrite. Set the dissolved oxygen control threshold to 0.4 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L, accelerating the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration rate to stabilize the dissolved oxygen at 0.35 mg / L, inhibiting the activity of nitrite-oxidizing bacteria.

[0065] In this embodiment, the steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: A high-precision pH probe is installed in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0-8.0. When the pH is below 7.0, the sodium bicarbonate dosing system is automatically activated, adding 70 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. The buffer dosage is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, with the dosage increased by 25% to counteract the H2 produced by the Anammox reaction. +When the pH rises abnormally, the mixed liquor reflux system is activated to introduce weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to be out of control, the emergency acid addition module is triggered to finely adjust the pH in a 0.1 mL / L gradient to avoid impacting the activity of Anammox bacteria.

[0066] In this embodiment, in step S6, an integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, actual influent data is input, initial hydraulic retention time and temperature parameters are set, and model parameters are calibrated to ensure that the error between simulated and measured values ​​is <10%. Then, multi-scenario simulations are performed, using software to conduct steady-state and dynamic simulations, generating a process dataset covering different combinations of HRT (10 hours) and temperature (35°C), including: steady-state data: effluent TN and NH4 at different HRTs and temperatures. + -N concentration and sludge settling performance; dynamic data: simulating system response under extreme conditions such as influent load fluctuations and sudden temperature changes; normalizing simulation data to eliminate dimensional differences, selecting key feature variables as model inputs, and using effluent TN removal rate as the optimization objective; employing LSTM neural networks or random forest algorithms to establish a nonlinear mapping relationship between temperature and denitrification performance; inputting optimized parameters into simulation software for verification, comparing the deviation between simulated and predicted values, collecting actual operating data, continuously updating model weights, establishing a historical optimization case library, and recommending optimal initial parameters through similarity matching to reduce trial and error.

[0067] Example 3

[0068] An integrated zoned denitrification method based on anaerobic ammonia oxidation reaction includes the following steps:

[0069] S1. High concentrations of organic matter and suspended solids in wastewater are removed through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox);

[0070] S2. The integrated reactor is divided into zones, including a short-cut nitration zone and an Anammox reaction zone;

[0071] S3. Part of the effluent from the Anammox reaction zone is returned to the short-cut nitrification zone to replenish nitrite and balance the carbon-nitrogen ratio; Anammox granular sludge is returned to the reaction zone through the sedimentation zone to maintain biomass concentration and reaction efficiency.

[0072] S4. Set up a secondary sedimentation tank or built-in sedimentation zone to achieve mud-water separation, discharge excess sludge and ensure that the effluent meets the standards;

[0073] S5. Real-time collection of COD, ammonia nitrogen, and nitrite parameters through sensors, combined with LSTM neural network algorithm to predict water quality fluctuation trends in the next 24 hours, dynamically adjust dissolved oxygen in the short-range nitrification zone and pH value in the Anammox reaction zone to ensure stable denitrification efficiency.

[0074] S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle.

[0075] S7. Perform zoned collaborative intelligent control, fault early warning and adaptive optimization.

[0076] In this embodiment, in S7, the zoned collaborative intelligent control is as follows: by analyzing the ammonia nitrogen conversion rate in the short-range nitrification zone, the aeration rate and mixed liquor recirculation ratio are automatically adjusted, with the recirculation ratio being 30%-50%, maintaining the molar ratio of nitrite to ammonia nitrogen close to 1:1, providing an ideal substrate for the Anammox reaction; based on image recognition technology, the particle size distribution of Anammox granular sludge is monitored, and the optimal sludge recirculation strategy is recommended to prevent granular sludge disintegration or carrier biofilm blockage.

[0077] In this embodiment, the fault warning and adaptive optimization are as follows: by monitoring the concentration thresholds of free ammonia and nitrite, the risk of Anammox activity inhibition is warned in advance and emergency measures are triggered. For the influent fluctuations of high ammonia nitrogen wastewater, AI combines historical data to adaptively optimize the carbon source dosage and balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox.

[0078] In this embodiment, in S1, high concentrations of organic matter and suspended solids in the wastewater are removed by coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria (Anammox); ammonia nitrogen in the wastewater is retained as a substrate for the Anammox reaction, and nitrite is added or generated by short-cut nitrification if necessary.

[0079] In this embodiment, in S2, the integrated reactor is divided into two zones: a short-cut nitrification zone and an Anammox reaction zone. In the short-cut nitrification zone, under aerobic conditions, dissolved oxygen (DO < 0.5 mg / L) and a short hydraulic retention time are controlled to oxidize some ammonia nitrogen to nitrite, avoiding complete nitrification to produce nitrate. In the Anammox reaction zone, under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as an electron donor and nitrite as an electron acceptor to directly convert it into nitrogen gas.

[0080] In this embodiment, in S4, a secondary sedimentation tank or an internal sedimentation zone is set up to achieve mud-water separation, discharge the remaining sludge and ensure that the effluent meets the standards. The effluent indicators are: total nitrogen removal rate of 90%, and the concentrations of residual ammonia nitrogen and nitrite are both below 10 mg / L.

[0081] In this embodiment, in S2, the operating temperature of the Anammox reaction zone is 36°C and the pH is 8.0.

[0082] In this embodiment, the step of dynamically adjusting the dissolved oxygen in the short-cut nitrification zone in S5 is as follows: Install online dissolved oxygen sensors and ammonia nitrogen sensors, and collect dissolved oxygen concentration and ammonia nitrogen concentration data in the short-cut nitrification zone every 5 minutes to ensure real-time data. Based on the short-cut nitrification target, approximately 55% of ammonia nitrogen is converted to nitrite. Set the dissolved oxygen control threshold to 0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L and accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration rate to stabilize the dissolved oxygen at 0.4 mg / L and inhibit the activity of nitrite-oxidizing bacteria.

[0083] In this embodiment, the steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: A high-precision pH probe is installed in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0-8.0. When the pH is lower than 7.0, the sodium bicarbonate dosing system is automatically activated, adding 100 mg / L NaHCO3 for every 0.1 pH unit decrease to maintain an alkaline environment. The buffer dosage is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, increasing the dosage by 20%-30% to counteract the H2 produced by the Anammox reaction. + When the pH rises abnormally, the mixed liquor reflux system is activated to introduce weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to be out of control, the emergency acid addition module is triggered to finely adjust the pH in a 0.1 mL / L gradient to avoid impacting the activity of Anammox bacteria.

[0084] In this embodiment, in step S6, an integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, actual influent data is input, initial hydraulic retention time and temperature parameters are set, and model parameters are calibrated to ensure that the error between simulated and measured values ​​is <10%. Then, multi-scenario simulations are performed, using software to conduct steady-state and dynamic simulations, generating a process dataset covering different combinations of HRT (15 hours) and temperature (45°C), including: steady-state data: effluent TN and NH4 at different HRTs and temperatures. +-N concentration and sludge settling performance; dynamic data: simulating system response under extreme conditions such as influent load fluctuations and sudden temperature changes; normalizing simulation data to eliminate dimensional differences, selecting key feature variables as model inputs, and using effluent TN removal rate as the optimization objective; employing LSTM neural networks or random forest algorithms to establish a nonlinear mapping relationship between temperature and denitrification performance; inputting optimized parameters into simulation software for verification, comparing the deviation between simulated and predicted values, collecting actual operating data, continuously updating model weights, establishing a historical optimization case library, and recommending optimal initial parameters through similarity matching to reduce trial and error.

[0085] The above description is only a preferred embodiment of this practice, but the scope of protection of this embodiment is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the scope of the technology disclosed in this embodiment, based on the technical solution and inventive concept of this embodiment, should be covered within the scope of protection of this embodiment.

Claims

1. An integrated zoned denitrification method based on anaerobic ammonia oxidation reaction, characterized in that, Includes the following steps: S1. High concentrations of organic matter and suspended solids in wastewater are removed through pretreatment such as coagulation sedimentation or chemical oxidation to avoid inhibition of subsequent Anammox treatment; S2, the integrated reactor is divided into zones, including a short-cut nitration zone and an Anammox reaction zone; S3. Part of the effluent from the Anammox reaction zone is returned to the short-cut nitrification zone to replenish nitrite and balance the carbon-nitrogen ratio; Anammox granular sludge is returned to the reaction zone through the sedimentation zone to maintain biomass concentration and reaction efficiency. S4. Set up a secondary sedimentation tank or built-in sedimentation zone to achieve mud-water separation, discharge excess sludge and ensure that the effluent meets the standards; S5. Real-time collection of COD, ammonia nitrogen, and nitrite parameters through sensors, combined with LSTM neural network algorithm to predict water quality fluctuation trends in the next 24 hours, dynamically adjust dissolved oxygen in the short-range nitrification zone and pH value in the Anammox reaction zone to ensure stable denitrification efficiency. S6. Use activated sludge simulation software to generate high-precision simulation data, train the model to optimize the hydraulic retention time and temperature parameters of the integrated reactor, and shorten the process commissioning cycle. S7. Implement zoned collaborative intelligent control, fault early warning, and adaptive optimization. The zoned collaborative intelligent control is as follows: By analyzing the ammonia nitrogen conversion rate in the short-range nitrification zone, automatically adjust the aeration rate and mixed liquor recirculation ratio, maintaining a recirculation ratio of 30%-50% to ensure a 1:1 molar ratio of nitrite to ammonia nitrogen, providing ideal substrates for the Anammox reaction; monitor the particle size distribution of Anammox granular sludge based on image recognition technology, recommending the optimal sludge recirculation strategy to prevent granular sludge disintegration or carrier biofilm blockage. The fault early warning and adaptive optimization are as follows: By monitoring the flow... The AI ​​sets thresholds for ammonia and nitrite concentrations to provide early warnings of the risk of Anammox bacterial activity inhibition and trigger emergency measures. For influent fluctuations in high ammonia nitrogen wastewater, the AI ​​adaptively optimizes the carbon source dosage based on historical data to balance the synergistic denitrification efficiency of heterotrophic denitrification and autotrophic Anammox. In S1, high concentrations of organic matter and suspended solids in the wastewater are removed through coagulation sedimentation or chemical oxidation pretreatment to avoid inhibition of subsequent anaerobic ammonia oxidizing bacteria. Ammonia nitrogen in the wastewater is retained as a substrate for the Anammox reaction, and nitrite is supplemented or generated through short-cut nitrification when necessary.

2. The integrated zoned denitrification method based on anaerobic ammonia oxidation reaction according to claim 1, characterized in that, In S2, the integrated reactor is divided into two zones: a short-cut nitrification zone and an Anammox reaction zone. In the short-cut nitrification zone, under aerobic conditions, dissolved oxygen and a short hydraulic retention time are controlled to oxidize some ammonia nitrogen into nitrite, avoiding complete nitrification to produce nitrate. In the Anammox reaction zone, under strictly anaerobic conditions, Anammox bacteria use ammonia nitrogen as an electron donor and nitrite as an electron acceptor to directly convert it into nitrogen gas.

3. The integrated zoned denitrification method based on anaerobic ammonia oxidation reaction according to claim 1, characterized in that, In S4, a secondary sedimentation tank or an internal sedimentation zone is set up to achieve mud-water separation, discharge the excess sludge and ensure that the effluent meets the standards. The effluent indicators are: total nitrogen removal rate of 80%-90%, and the concentrations of residual ammonia nitrogen and nitrite are both below 10 mg / L.

4. The integrated zoned denitrification method based on anaerobic ammonia oxidation reaction according to claim 1, characterized in that, In S2, the operating temperature of the Anammox reaction zone is 34-36℃, and the pH is 7.0-8.

0.

5. The integrated zoned denitrification method based on anaerobic ammonia oxidation reaction according to claim 1, characterized in that, In step S5, the steps for dynamically adjusting the dissolved oxygen in the short-cut nitrification zone are as follows: Install online dissolved oxygen sensors and ammonia nitrogen sensors, and collect dissolved oxygen and ammonia nitrogen concentration data in the short-cut nitrification zone every 5 minutes to ensure real-time data. Based on the short-cut nitrification target of converting 55% of ammonia nitrogen to nitrite, set the dissolved oxygen control threshold to 0.3-0.5 mg / L. When the ammonia nitrogen concentration is higher than the set threshold, start the aeration equipment through the PLC controller to increase the dissolved oxygen to 0.5 mg / L and accelerate the activity of ammonia-oxidizing bacteria. When the ammonia nitrogen concentration drops to the target value, gradually reduce the aeration rate to stabilize the dissolved oxygen at 0.3-0.4 mg / L and inhibit the activity of nitrite-oxidizing bacteria.

6. The integrated zoned denitrification method based on anaerobic ammonia oxidation reaction according to claim 1, characterized in that, The steps for dynamically adjusting the pH value of the Anammox reaction zone are as follows: A high-precision pH probe is installed in the Anammox reaction zone to monitor the pH fluctuation range in real time. The pH fluctuation range is 7.0-8.

0. When the pH is lower than 7.0, the sodium bicarbonate dosing system is automatically activated, adding 50-100 mg / L NaHCO3 for every 0.1 pH decrease to maintain an alkaline environment. The buffer dosage is dynamically adjusted according to the influent ammonia nitrogen load and nitrite concentration, increasing the dosage by 20%-30% to counteract the H⁺ generated by the Anammox reaction. When the pH rises abnormally, the mixed liquor reflux system is activated to introduce weakly acidic effluent from the short-cut nitrification zone for neutralization. If the pH continues to be out of control, the emergency acidification module is triggered, making fine adjustments in 0.1 mL / L gradients to avoid impacting the Anammox bacteria activity.

7. The integrated zoned denitrification method based on anaerobic ammonia oxidation reaction according to claim 1, characterized in that, In step S6, an integrated reactor model is built using the activated sludge simulation software BioWin. The reactor structure is defined, actual influent data is input, initial hydraulic retention time and temperature parameters are set, and model parameters are calibrated to ensure that the error between simulated and measured values ​​is less than 10%. Then, multi-scenario simulations are performed, using software for steady-state and dynamic simulations to generate process datasets covering different HRT and temperature combinations. These datasets include: steady-state data: effluent TN and NH4⁺-N concentrations and sludge settling performance at different HRTs and temperatures; dynamic data: system response under extreme conditions such as influent load fluctuations and sudden temperature changes. The simulation data is normalized to eliminate dimensional differences, and key feature variables are selected as model inputs. The effluent TN removal rate is used as the optimization objective. An LSTM neural network or random forest algorithm is employed to establish a nonlinear mapping relationship between temperature and denitrification performance. The optimized parameters are input into the simulation software for verification. The deviation between simulated and predicted values ​​is compared, actual operating data is collected, model weights are continuously updated, a historical optimization case library is established, and optimal initial parameters are recommended through similarity matching to reduce the number of trial and error attempts.

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